odm-class: Class '"OutlierDM"'

In sooheang/OutlierDM: Outlier Detection for Multiplicative High-throughput Data

Description

A S4 class for the OutlierDM package

Objects from the Class

Objects can be created by calls of the form new("OutlierDM", ...). See following information about slots.

Slots

call:

evaluated function call

raw.data:

data to be used in the fitted model

res:

a data.frame including the information about the fitted model. It consists of several columns including outlier, M, A, Q3, Q1, UB and LB.

x.pair:

a list including the information of the pairwise outlierD algorithm

k:

a scalar parameter for constructing boxplot used in the fitted models

outlier:

a boolean matrix for outlier information

n.outliers:

a scalar value that denotes the number of outliers to be detected by the fitted model.

method:

the type of method used in the fitted model

type:

the type of algorithm used in the fitted model

contrl.para:

a list including information about tuning parameters

Methods

show

signature(object = "OutlierDM"): Same as the show method without the optional arguments

plot

signature(x = "OutlierDM", y = "missing"): Plot an object.

input

signature{object = "OutlierDM"}: Show an input data set

output

signature{object = "OutlierDM"}: Show the result

outliers

signature{object = "OutlierDM"}: Show the candidate outliers

See Also

odm

Examples

  showClass("OutlierDM")

sooheang/OutlierDM documentation built on May 30, 2019, 6:31 a.m.